Sarcopenia identification method and device based on machine vision, equipment and medium

Abstract

The invention discloses a sarcopenia identification method and device based on machine vision, equipment and a medium, and relates to the technical field of medical image data processing. The sarcopenia identification method comprises the following steps: collecting a video stream of the normal walking speed of a crowd, and obtaining an original frame image sequence set; based on a human body posture identification algorithm, processing each original frame image, and obtaining human body key points and gait contour maps corresponding to each original frame image; performing affine transformation on the human body key points to obtain human body key points at different angles; acquiring corresponding gait data, joint flexion data and skeleton feature maps on the basis of coordinates of the human body key points at different angles; and establishing a gait identification network, inputting the obtained data into the gait identification network for sarcopenia identification, and obtaining a sarcopenia identification result and a prediction value related to the sarcopenia identification result. According to the invention, sarcopenia individuals are quickly and objectively screened and identified at low cost, and prediction of potential sarcopenia individuals is achieved.

Description

technical field [0001] The present invention relates to the technical field of medical image data processing, in particular to a machine vision-based sarcopenia identification method, device, equipment and medium. Background technique [0002] As my country's population structure is rapidly entering the aging stage, and the demand for quality of life and physical health of the elderly population is increasing day by day, the pressure from the two and the unbalanced distribution of my country's economy, society and medical care resources have led to a huge gap between supply and demand . In medical and nursing practice, sarcopenia has gradually gained attention, and the European Sarcopenia Working Group defines it as: a progressive, generalized loss of muscle volume and / or muscle strength or loss of muscle physiological function associated with aging. Sarcopenia significantly increases the mortality rate of patients over 70 years old, the degree of decline in self-care abilit...

AI Technical Summary

Problems solved by technology

Many grassroots communities are located in remote areas, with relatively scarce resources, inconvenient transportation, scattered elderly people, limited medical security, and most of the existing sarcopenia is contact measurement.

With the increasing popularity of peripherals such as mobile phone wearable devices and the accumulation of experience in the application of deep learning algorithms in various fields, the application scope of telemedicine and real-time health analysis is gradually expanding. The cost of collecting data is high, and it is not convenient to collect a large amount of data for analysis. Therefore, an objective, easy-to-reach, self-reporting and non-contact method for real-time senile frailty assessment sarcopenia is needed to reduce the pressure on primary health management and enable Limited intervention resources are allocated more accurately, improving the quality of life and life expectancy of the elderly as a whole

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